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DOI will be assigned to every published paper at no additional charge. 📢 Call for Papers — Volume 13, Issue 10 (October 2026) | Submission Deadline: October 26, 2026 | Rapid peer review: 2–3 days | Impact Factor: 7.37 (SJIF 2026)

Paper Details

📄 IJAERD-OJS-2506

Document Retrieve On Cloud With Multikeyword Searching

Author(s):Shreya Thite, Monali Yenpure, Surabhi Mohite
Institution:Computer Engineering, NESGOI Of Naigaon Pune
Published In:Vol. 4, Issue 4 — April 2017
Page No.:242-246
Domain:Engineering
Type:Research Paper
ISSN (Online):2348-4470
ISSN (Print):2348-6406
Abstract

Cloud storage contain large amount of outsourced data. For large data require to provide security to store the data oncloud storage. large data cannot be handledby the user for searching document on cloud. The cloud provides data storage andsharing services for users, and has ample storage space. The third party auditor is able to verify the integrity of shared data based onrequests from users, without downloading the entire data. To find the specific data on cloud is critical task . Finding data in largedata is the big challenge in this case. So in this paper, we introduce to ‘Multikeyword Searching’ strategy . In multikeyword searchingwe can find data from cloud using date, Location or keyword if mention in the document. It is easiest technique of finding data oncloud. Also this technique increases the overall performance of the system. It require less time to find document on cloud. We provideintegrity and confidentiality to the data while it is stored on cloud.

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🕮 How to Cite

Shreya Thite, Monali Yenpure, Surabhi Mohite, “Document Retrieve On Cloud With Multikeyword Searching”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 4, pp. 242-246, April 2017.

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Vol. 13 | Issue 10
October-2026